\begin{tabular}{l*{6}{c}}
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& \multicolumn{2}{c}{Keep their promises} & \multicolumn{2}{c}{Care for the people} & \multicolumn{2}{c}{Citizens participation}  \\
& Politicians & Public Servants & Politicians & Public Servants & Listens to & Citizens' \\
& \multicolumn{4}{c}{ } & its neighbors & participation \\
& (1) & (2) & (3) & (4) & (5) & (6) \\
\midrule
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\multicolumn{7}{l}{\textit{Minimum Detectable Effect}}\\
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T1                                   &   0.078 &   0.087 &   0.083 &   0.088 &   0.070 &   0.082 \\
T2                                   &   0.077 &   0.086 &   0.082 &   0.087 &   0.069 &   0.081 \\
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\hline
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Control mean                 &   0.230 &   0.483 &   0.292 &   0.413 &   0.163 &   0.612 \\
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\textbf{Cohen's $\delta$}  &   0.076 &   0.077 &   0.078 &   0.077 &   0.077 &   0.076 \\
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\multicolumn{7}{l}{\textit{Variances}}\\
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Between group                &     1.8 &     2.4 &     2.1 &     2.4 &     1.5 &     2.3 \\
Within group                 &   309.1 &   406.4 &   346.5 &   400.4 &   256.2 &   396.9 \\
\bottomrule
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\multicolumn{7}{l}{\footnotesize{\begin{minipage}{0.68\textwidth}\textit{Notes:} All estimations of the Minimum Detectable Effect specify a comparison of proportions between the treated individuals and people from the control group in a pairwise fashion, given the binary nature of the dependent variable. This method uses normal approximation without continuity correction, following \citet{hemming2013menu}. We have 583 respondents in T1, 608 in T2 and 477 in the control group. Power is set to be 80\% and significance of the effect 5\%. Means of the control group are shown. Considering that the RCT design is multiarmed, we conduct power calculations considering the joint significance of the differences among treatment assignments. The Cohen's $\delta$ \citep{cohen2013statistical} provides a unitless measure of the magnitude of an effect with a lower bound of zero. $\delta$ is computed as the square root of the ratio between the group's means variance and the error variance; between and within-group variance, respectively. \end{minipage}}}
\end{tabular}
